Olive disease classification based on vision transformer and CNN models
It has been noted that disease detection approaches based on deep learning are becoming
increasingly important in artificial intelligence‐based research in the field of agriculture …
increasingly important in artificial intelligence‐based research in the field of agriculture …
MobiRes-net: a hybrid deep learning model for detecting and classifying olive leaf diseases
The Kingdom of Saudi Arabia is considered to be one of the world leaders in olive
production accounting for about 6% of the global olive production. Given the fact that 94% of …
production accounting for about 6% of the global olive production. Given the fact that 94% of …
Deep reinforcement learning
M Krichen - 2023 14th International Conference on Computing …, 2023 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) is a powerful technique for learning policies for
complex decision-making tasks. In this paper, we provide an overview of DRL, including its …
complex decision-making tasks. In this paper, we provide an overview of DRL, including its …
A novel approach for image-based olive leaf diseases classification using a deep hybrid model
The olive tree is affected by a variety of diseases. To identify these diseases, many farmers
typically use traditional methods that require a lot of effort and specialization. These methods …
typically use traditional methods that require a lot of effort and specialization. These methods …
Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images
The task of classification and localization with detecting abnormalities in medical images is
considered very challenging. Computer-aided systems have been widely employed to …
considered very challenging. Computer-aided systems have been widely employed to …
Image‐based detection and classification of plant diseases using deep learning: State‐of‐the‐art review
M Bagga, S Goyal - Urban Agriculture & Regional Food …, 2024 - Wiley Online Library
Plant diseases are assumed to be one of the primary causes regulating food manufacturing
and reducing deficits in crop yield, and it is crucial that plant diseases have rapid spotting …
and reducing deficits in crop yield, and it is crucial that plant diseases have rapid spotting …
Fast and intelligent irrigation system based on WSN
In the agricultural industry, wireless sensor networks (WSNs) can be an important tool to
promote economic growth. Using network devices in agriculture has the potential to …
promote economic growth. Using network devices in agriculture has the potential to …
Breast Cancer classification using synthesized Deep Learning model with metaheuristic optimization algorithm
S Thirumalaisamy, K Thangavilou, H Rajadurai… - Diagnostics, 2023 - mdpi.com
Breast cancer is the second leading cause of mortality among women. Early and accurate
detection plays a crucial role in lowering its mortality rate. Timely detection and classification …
detection plays a crucial role in lowering its mortality rate. Timely detection and classification …
[HTML][HTML] Optimized recurrent neural network mechanism for olive leaf disease diagnosis based on wavelet transform
HH Alshammari, H Alkhiri - Alexandria Engineering Journal, 2023 - Elsevier
Plant diseases can significantly reduce food and agricultural production, leading to major
quality, quantity, and economic losses. Plant disease deficits are usually reduced by early …
quality, quantity, and economic losses. Plant disease deficits are usually reduced by early …
Dynamic Clustering Strategies Boosting Deep Learning in Olive Leaf Disease Diagnosis
AH Alsaeedi, AM Al-juboori, HHR Al-Mahmood… - Sustainability, 2023 - mdpi.com
Artificial intelligence has many applications in various industries, including agriculture. It can
help overcome challenges by providing efficient solutions, especially in the early stages of …
help overcome challenges by providing efficient solutions, especially in the early stages of …